Machine learning and knowledge discovery for engineering systems health management [electronic resource] / edited by Ashok N. Srivastava, Jiawei Han.

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Material type: Text

TextSeries: Chapman & Hall/CRC data mining and knowledge discovery seriesPublication details: Boca Raton, Fla. : CRC Press, 2012.Description: xxxvii, 464 p. : illISBN:

9781439841792 (ebook : PDF)

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Electronic books.

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Also available in print edition.

Contents:

section 1. Data-driven methods for systems health management -- section 2. Physics-based methods for systems health management -- section 3. Applications.

Summary: "Systems health is a broad multidisciplinary field of study that generates huge amounts of data and thus is an extremely appropriate forum in which to utilize machine learning and knowledge discovery techniques. This book explores the use of machine learning and knowledge discovery in systems health research. It covers data mining and text mining algorithms, anomaly detection, diagnostic and prognostic systems, and applications to engineering systems. Featuring contributions from leading experts, the book is the first to explore this emerging research area"-- Provided by publisher.

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"A Chapman & Hall book."

Includes bibliographical references and index.

section 1. Data-driven methods for systems health management -- section 2. Physics-based methods for systems health management -- section 3. Applications.

"Systems health is a broad multidisciplinary field of study that generates huge amounts of data and thus is an extremely appropriate forum in which to utilize machine learning and knowledge discovery techniques. This book explores the use of machine learning and knowledge discovery in systems health research. It covers data mining and text mining algorithms, anomaly detection, diagnostic and prognostic systems, and applications to engineering systems. Featuring contributions from leading experts, the book is the first to explore this emerging research area"-- Provided by publisher.

Also available in print edition.

Mode of access: World Wide Web.

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